Linear Mixed Models - An Introduction with Applications in Veterinary Research
Overview
R Codes and Datasets for Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998). Linear Mixed Models. An Introduction with applications in Veterinary Research. International Livestock Research Institute.
Minor Changes
- Added package-level documentation for
?VetResearchLMM. - Added the School of Mathematical and Statistical Sciences, Clemson University, Clemson, South Carolina, USA affiliation in package metadata and package-level documentation.
- Added
report_mixed_model()as an optional easystats/report integration for fitted mixed model objects. - Added guarded
report::report()calls throughout fitted example workflows and vignettes so model interpretation follows immediately after fitting. - Added
emmeans_mixed_model()as an optionalemmeansintegration for estimated marginal means and post hoc pairwise comparisons. - Added
emmeanscalls to examples with least-squares means, contrasts, pairwise comparisons, or fitted trend interpretation.
Show all changes in 1.1.0Hide the rest of the changes in 1.1.0
- Modernized example preprocessing with
collapse::fmutate()for factor and indicator-variable creation. - Updated the minimum R version to 4.1.0 because the modernized examples use the base R pipe operator.
- Added Quarto vignettes for package introduction, mixed model methodology, book examples, and ggplot2-based plotting.
- Added pkgdown configuration with reference and article organization and cleaner typography for the package site.
- Added regression tests for book examples with readable numerical targets.
- Added testthat data-integrity tests for bundled datasets.
- Updated dataset documentation to match the packaged data objects.
- Moved modelling packages used only in examples to Suggests and added
ggplot2for plotting vignettes. - Refreshed package metadata needed by current R CMD check and bumped the package version to 1.1.0.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-05-06
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 22includes a package overview page
- Examples that run
- 95%20 run in a plain check (2 of them under a condition) · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 17
Forks over time
PRs over time
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/myaseen208/vetresearchlmm on 2026-10-25.
Dependencies
Installing VetResearchLMM adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- unarchivedReturned to CRAN2026-05-05
- 1.1.0Latest
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-03-18issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.0.02018-04-22 · diff ↗
- RR 3.4.0 released · 2017-04-21
- unarchivedReturned to CRAN2017-04-04
- 0.2.02017-04-04 · diff ↗
Show 3 earlier eventsHide 3 earlier events
- archivedRemoved from CRAN2017-03-26check problems were not corrected despite reminders
- 0.1.02016-06-24
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-06-24
- Total releases
- 4 / 10 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 3.0 KB / 7 files
- Download size
- 141 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("VetResearchLMM")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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